Learning Algorithms – alle Bücher

Vadim Smolyakov
Machine Learning Algorithms in Depth

Machine Learning Algorithms in Depth dives deep into the 'how' and the 'why' of machine learning algorithms. For each category of an algorithm, you will go from math-first principles to hands-on implement…

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Machine Learning Algorithms

This book constitutes the refereed proceedings of the First International Conference on Machine Learning Algorithms, ICMLA 2024, held in Himachal Pradesh, India, during February 23¿24, 2024.The 23 full pa…

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Optimization, Learning Algorithms and Applications

This two-volume set, CCIS 2280 and CCIS 2281, constitutes the proceedings of the 4th International Conference on Optimization, Learning Algorithms and Applications, OL2A 2024, held in Tenerife, Spain, in …

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Optimization, Learning Algorithms and Applications

This two-volume set, CCIS 2280 and CCIS 2281, constitutes the proceedings of the 4th International Conference on Optimization, Learning Algorithms and Applications, OL2A 2024, held in Tenerife, Spain, in …

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Alvaro Rocha, Fadele Ayotunde Alaba
Malware Detection on Smart Wearables Using Machine Learning Algorithms

This book digs into the important confluence of cybersecurity and big data, providing insights into the ever-changing environment of cyber threats and solutions to protect these enormous databases. In the…

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Prashad
Optimization Algorithms for Machine Learning: Theory and Practice

In the realm of machine learning, optimization algorithms play a pivotal role in refining models for optimal performance. These algorithms, ranging from classic gradient descent to advanced techniques lik…

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Kinky
Exploring Optimization Algorithms in Machine Learning: From Theory to Practice

Optimization algorithms in machine learning bridge theoretical foundations with practical applications, crucial for refining model performance. Techniques like gradient descent, stochastic gradient descen…

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Edward Dongbo Cui
Vectorization

Enables readers to develop foundational and advanced vectorization skills for scalable data science and machine learning and address real-world problemsOffering insights across various domains such as com…

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Mazin A. M. Al Janabi
Liquidity Dynamics and Risk Modeling

This book presents a high-quality contribution to the applications of modern financial algorithms for liquidity risk management and its practical uses and applications to investable portfolios and mutual …

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Antti Laaksonen
Guide to Competitive Programming

This textbook features new material on advanced topics, such as calculating Fourier transforms, finding minimum cost flows in graphs, and using automata in string problems. Critically, the text accessibly…

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Vaibhav Verdhan
Models and Algorithms for Unlabelled Data

Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to apply each technique to real-world problems. In Models and Al…

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Federated Learning for Medical Imaging

Federated Learning for Medical Imaging: Principles, Algorithms, and Applications gives a deep understanding of the technology of federated learning (FL), the architecture of a federated system, and the al…

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Christina Berns
Die Gouvernementalität von Algorithmen

¿Die digitale Transformation ist eine Einbahnstraße in ein kybernetisches Zeitalter. Intelligente Maschinen nehmen den Menschen dort als steuernde Kraft allmählich das Zepter aus der Hand.¿Der Einzug präd…

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Hang Wang, Junshan Zhang, Sen Lin
Continual and Reinforcement Learning for Edge AI

This book provides a comprehensive introduction to continual and reinforcement learning for edge AI, which investigates how to build an AI agent that can continuously solve new learning tasks and enhance …

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Elliot Lichtman
The Computer Always Wins

"The Computer Always Wins is a joyful and accessible introduction to computer science, with the key ideas framed through the lens of board games and strategy games that readers already know"--

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Constantin Gonciulea, Charlee Stefanski
Building Quantum Software in Python

A developer-centric look at quantum computing.The demand for developers who can implement solutions with quantum resources is growing larger every day. Building Quantum Software with Python gives you the …

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Inga Lexow
Coding Robots - Wie Kinder Algorithmen entwickeln

In modernen Gesellschaften sind Algorithmen allgegenwärtig und beeinflussen nahezu jeden Aspekt des täglichen Lebens. Von der Reihenfolge der Suchergebnisse im Internet bis hin zur Optimierung von Routen …

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Carl Kingsford
An Introduction to String Algorithms

An essential introduction to the building blocks of modern text processingString algorithms make it possible to process, store, and manipulate text with computational efficiency, with applications ranging…

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Taeho Jo
Deep Learning Foundations

This book provides a conceptual understanding of deep learning algorithms. The book consists of the four parts: foundations, deep machine learning, deep neural networks, and textual deep learning. The fir…

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Practical Machine Learning Tools and Techniques for Industrial Applications

The main goal of the book is to provide a comprehensive and accessible guide that empowers readers to understand, apply, and leverage machine learning algorithms and techniques effectively in real-world s…

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